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fastai-deeplearning-aitaproject

A deep learning application using FastAI, trained on a database of all reddit "Am I The ***hole" posts

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

fuel_efficiency_analysis

The repository concerns the fuel efficiency analysis of different vehicles from different manufacturers based on the data from the Depart of Energy, US.

get-started-python

A Python application and tutorial that use Flask framework to provide a REST API to receive requests from the UI. The API then persists the data to a Cloudant database.

gradient-descent

Demo for the part 1 of the tutorial on pychain

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

interactive_tools

Interactive Tools for Machine Learning, Deep Learning and Math

intermediate-python-course

an intermediate Python course

introduction-to-data-science

A general introduction of the staff used in data science

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

learning-papers

Landmark Papers in Machine Learning

machine-learning

Content for Udacity's Machine Learning curriculum

machine-learning-course

:speech_balloon: Machine Learning Course with Python

machine_learning_basics

Plain python implementations of basic machine learning algorithms

medfuse

mental_health_in_tech

This repo concerns a cluster analysis of mental health condition in tech industry

ml-boot-camp-2020

This is a not-for-profit machine learning boot camp organized by CADASA and GDG Edmonton. All materials are referenced from open-source resources and provided by course leaders of the boot camp.

mlcourse.ai

Open Machine Learning Course

model-analysis

Model analysis tools for TensorFlow

nhl-data-analysis-with-pandas

Repository to accompany talk at edmontonpy

nptsne

nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.

openrefine

OpenRefine is a free, open source power tool for working with messy data and improving it

pcc

Resources for Python Crash Course, from No Starch Press.

prettymaps

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

python

All Algorithms implemented in Python

python-dask

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

python-optimization-example

A story about optimizing some python code

python-plotting